title: Optimal control for a parallel hybrid hydraulic excavator using particle swarm optimization.
abstract: Optimal control using particle swarm optimization (PSO) is put forward in a parallel hybrid hydraulic excavator (PHHE). A power-train mathematical model of PHHE is illustrated along with the analysis of components' parameters. Then, the optimal control problem is addressed, and PSO algorithm is introduced to deal with this nonlinear optimal problem which contains lots of inequality/equality constraints. Then, the comparisons between the optimal control and rule-based one are made, and the results show that hybrids with the optimal control would increase fuel economy. Although PSO algorithm is off-line optimization, still it would bring performance benchmark for PHHE and also help have a deep insight into hybrid excavators.
authors.affiliation: School of Engineering, Zhejiang Normal University, Zhejiang 321005, China.
authors.forename: Dong-yun
authors.initials: DY
authors.lastname: Wang
authors.forename: Chen
authors.initials: C
authors.lastname: Guan
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D060389:Construction Industry / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D008962:Models, Theoretical; D018986:Motor Vehicles